Visualization Aided Interface Reconstruction

Penk D, Müller J, Felfer P, Grosso R, Stamminger M (2020)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2020

Event location: Tübingen DE

Abstract

Modern atom probe tomography measurements generate large point clouds of atomic locations in solids. A common analysis task in these datasets is to put the location of specific atom types in relation to crystallographic features such as the interface between two crystals (grain boundaries). In cases where these features represent surfaces, their extraction is carried out manually in most cases. In this paper we propose a method for semi automatic extraction of such two dimensional manifold and non-manifold surfaces from a given dataset. We first aid the user to filter the atom data by providing an interactive visualization of the dataset tailored towards enhancing these interfaces. Once a desired set of points representing the interface is found, we provide an automatic surface extraction method to compute an explicit parametric representation of the visualized surface. In case of non-manifold interface structures, this parametric representation is then used to calculate the intersections of the individual manifold parts of the interfaces.

Authors with CRIS profile

Dominik Penk Chair of Visual Computing Jonas Müller Chair of Visual Computing Peter Felfer Professur für Atom Probe Tomography Roberto Grosso Chair of Visual Computing Marc Stamminger Chair of Visual Computing

Additional Organisation(s)

Professur für Atom Probe Tomography Lehrstuhl für Werkstoffwissenschaften (Allgemeine Werkstoffeigenschaften)

How to cite

APA:

Penk, D., Müller, J., Felfer, P., Grosso, R., & Stamminger, M. (2020). Visualization Aided Interface Reconstruction. In Proceedings of the VMV 2020, 25th International Symposium on Vision, Modeling, and Visualization. Tübingen, DE.

MLA:

Penk, Dominik, et al. "Visualization Aided Interface Reconstruction." Proceedings of the VMV 2020, 25th International Symposium on Vision, Modeling, and Visualization, Tübingen 2020.

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